APPMAR 1.0: A Python application for downloading and analyzing of WAVEWATCH III® wave and wind data
Horrillo-Caraballo, José M.
Diaz Martinez, Karina SOFIA
Del Rio, Roberto
Universidad Tecnológica de Bolívar
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This work presents APPMAR 1.0, an application written in the Python programming language that downloads, processes, and analyzes wind and wave data. This application is composed of a graphical user interface (GUI) that contains two main modules: the first module downloads data from WAVEWATCH III® (WW3) production hindcasts by the National Oceanic and Atmospheric Administration (NOAA); the second module applies statis tical mathematics for processing and analyzing wave and wind data. This application provides useful graphical results that describe mean and extreme wave and wind climate. APPMAR generates plots of exceedance prob ability, joint probability distribution, wave direction, Weibull distribution, and storm frequency analysis. Currently, APPMAR only downloads and analyzes wave and wind data from WW3 hindcasts, but it is under development to other datasets and marine climate parameters. This application has been tested in the Magdalena River mouth, Colombia, and Cancún, M´exico, where observational wave and wind data are scarce.
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